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Reimagining real estate to make it easier than ever to move from one home to the next.
Conversational AI Engineer
Location
California + 15 moreAll locations: California | Colorado | Connecticut | District of Columbia | Hawaii | Illinois | Nevada | New Jersey | New York | Ohio | Maryland | Massachusetts | Minnesota | Rhode Island | Vermont | Washington
Posted
140 days ago
Salary
$136.3K - $217.7K / year
Seniority
Senior
Job Description
Conversational AI Engineer
Zillow
• Design, build, and deploy intelligent chat agents and automated workflows to resolve common customer and frontline issues. • Integrate core systems (such as Salesforce) with AI tools to create a unified, compliant user experience. • Develop and optimize prompts to ensure the AI delivers accurate, relevant answers and help content. • Evaluate, onboard, and manage AI/ML tools and emerging technologies to enhance system performance. • Implement safeguards and monitoring to maintain accuracy, prevent misinformation, and build user trust. • Collaborate with Product, Engineering, QA, Content, and Analytics teams to embed conversational AI into business strategy and track performance. • Apply machine learning and large language models to improve natural language understanding and generation in our chat agents.
Job Requirements
- Minimum 5+ years of experience in Software or Applications Engineering
- At least 2 years focused on Conversational AI, Chatbots, or Agentic Systems.
- Proven experience developing with CRM platforms (especially Salesforce).
- Skilled in leveraging machine learning and large language models for natural language processing.
- Strong background in integrating systems and managing APIs for seamless data flow.
- Experience with QA tooling and monitoring for AI performance and accuracy.
- Understanding of content performance metrics and technical implementation for measurement and A/B testing.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Benefits
- Competitive base salary
- Eligible for equity awards based on factors such as experience, performance and location.
- Flexible work arrangements
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